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Source channel @githubtrending · Post #14659 · May 1

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN

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Yummy 😋

@godlynews1 · Post #15114 · 04/01/2026, 12:36 PM

OptiScaler 发布 v0.9(稳定版),含重大更新 😨https://github.com/optiscaler/OptiScaler/releases/tag/v0.9 在历经七个月的开发和延期后,新增了大量重要功能。 • 此次更新对帧生成(FG)设置进行了重大重写,新增了 XeFG 和 Redstone FSR4-FG,并将选项分为 FG 源和 FG 输出。 • OptiScaler v0.9 现在捆绑了最新的 Fakenvapi(1.4)和 Nukems dlssg-to-fsr3(0.130), 强烈建议从 v0.7.9 升级的用户使用卸载 BAT 并手动删除旧文件,如 nvapi64.dll。 • 主要功能改进包括更新的 SDK(XeSS 3.0 和 FFX 2.2)、仅限 Arc 的 MFG 支持、FSR4 Vulkan 与 Dx12 支持,以及在 BAT 文件中添加了 OptiPatcher 支持。 • 此次发布包含各种游戏特定的修复和调整、通用 BAT/卸载程序改进,以及新增选项,如 VRR FPS 限制计算器和防止外部程序导致崩溃的进程过滤器。 🗒 标签: #OptiScaler#DLSS#FSR4#帧生成 📢 频道: @GodlyNews1 🤖 投稿: @GodlyNewsBot